Big Linked Data - Creating Training Curricula
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The document outlines the Euclid curriculum for big linked data, emphasizing the use of realistic solutions, real data, and scalable tools for data mining and visualization. It highlights the integration of various modules like RDFa, data acquisition, and tools explained through screencasts, along with datasets such as MusicBrainz. The curriculum aims to provide a comprehensive learning experience by offering resources and public engagement through a monitored SPARQL endpoint.
![Scalable Solutions
• MusicBrainz RDF derived via R2RML:
300M
Triples
lb:artist_member a rr:TriplesMap ;
rr:logicalTable [rr:sqlQuery
"""SELECT a1.gid, a2.gid AS band
FROM artist a1
INNER JOIN l_artist_artist ON a1.id =
l_artist_artist.entity0
INNER JOIN link ON l_artist_artist.link = link.id
INNER JOIN link_type ON link_type = link_type.id
INNER JOIN artist a2 on l_artist_artist.entity1 = a2.id
WHERE link_type.gid='5be4c609-9afa-4ea0-910b-12ffb71e3821'"""]
;
rr:subjectMap [rr:template "http://musicbrainz.org/artist/{gid}#_"]
;
rr:predicateObjectMap
[rr:predicate mo:member_of ;
rr:objectMap [rr:template
"http://musicbrainz.org/artist/{band}#_" ;
rr:termType rr:IRI]] .
EUCLID – a Curriculum for Big Linked Data 12](https://image.slidesharecdn.com/curriculum-130410044851-phpapp02/85/Big-Linked-Data-Creating-Training-Curricula-12-320.jpg)
Big Linked Data - Creating Training Curricula
- 1. Big Linked Data Presented by: Barry Norton, Ontotext AD
- 2. Aims for curriculum 1.Show realistic solutions 2.Use real data 3.Use real tools 4.Show scalable solutions 5.Eat the dog’s food EUCLID – a Curriculum for Big Linked Data 2
- 3. Realistic Solution Application Analysis & Visualization RDFa Module Mining Module Access SPARQL Endpoint Publishing LD Dataset Vocabulary Integrated Interlinking Cleansing Mapping Dataset Physical Wrapper LD Wrapper R2R Transf. LD Wrapper Data acquisition RDF/ XML Streaming providers Downloads Musical Content Metadata Other content EUCLID – a Curriculum for Big Linked Data 3
- 4. Real Data • No pizza EUCLID - Providing Linked Data 4
- 5. Real Data • No pizza • No wine EUCLID - Providing Linked Data 5
- 6. Real Data • No pizza • No wine • No Protégé EUCLID - Providing Linked Data 6
- 7. Real Data • MusicBrainz dataset: • Music Ontology: EUCLID - Providing Linked Data 7
- 8. Real Tools • Admitted simple start • Industry-strength by Module 2 EUCLID – a Curriculum for Big Linked Data 8
- 9. Real Tools • All tools explained by screencast EUCLID – a Curriculum for Big Linked Data 9
- 10. Real Tools • All tools explained by screencast Explains how Exercise 1 was created EUCLID – a Curriculum for Big Linked Data 10
- 11. Real Tools • The data of interest may be stored in a wide range or formats: Spreadsheets Databases Text or tabular data • Several tools support the process of mining data from different repositories, for example: R2RML EUCLID – a Curriculum for Big Linked Data 11
- 12. Scalable Solutions • MusicBrainz RDF derived via R2RML: 300M Triples lb:artist_member a rr:TriplesMap ; rr:logicalTable [rr:sqlQuery """SELECT a1.gid, a2.gid AS band FROM artist a1 INNER JOIN l_artist_artist ON a1.id = l_artist_artist.entity0 INNER JOIN link ON l_artist_artist.link = link.id INNER JOIN link_type ON link_type = link_type.id INNER JOIN artist a2 on l_artist_artist.entity1 = a2.id WHERE link_type.gid='5be4c609-9afa-4ea0-910b-12ffb71e3821'"""] ; rr:subjectMap [rr:template "http://musicbrainz.org/artist/{gid}#_"] ; rr:predicateObjectMap [rr:predicate mo:member_of ; rr:objectMap [rr:template "http://musicbrainz.org/artist/{band}#_" ; rr:termType rr:IRI]] . EUCLID – a Curriculum for Big Linked Data 12
- 13. Dog Food • EUCLID output, topics and engagement monitored public-lod public-vocabs semantic-web EUCLID – a Curriculum for Big Linked Data 13
- 14. Dog Food • EUCLID output, topics and engagement monitored public-lod • Offered as public SPARQL endpoint public-vocabs semantic-web EUCLID – a Curriculum for Big Linked Data 14
- 15. Dog Food • EUCLID output, topics and engagement monitored public-lod • Offered as public SPARQL endpoint public-vocabs semantic-web • Will be used as basis of analysis examples EUCLID – a Curriculum for Big Linked Data 15
- 16. Results • Achieving ~100 live viewers: • Set to exceed 1000 post hoc views /channel (Webinar platform, Vimeo, Slideshare): EUCLID – a Curriculum for Big Linked Data 16
- 17. For exercises, quiz and further material visit our website: http://www.euclid-project.eu eBook Course Other channels: @euclid_project EUCLID project EUCLIDproject EUCLID – a Curriculum for Big Linked Data 17